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quant-ph2024
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
Vicente P. Soloviev, Vedran Dunjko, Concha Bielza +2
Quantum architecture search (QAS) involves optimizing both the quantum parametric circuit configuration but also its parameters for a variational quantum algorithm. Thus, the probl…
quant-ph2022★ 3 cited
Quantum Approximate Optimization Algorithm for Bayesian network structure learning
Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga
Bayesian network structure learning is an NP-hard problem that has been faced by a number of traditional approaches in recent decades. Currently, quantum technologies offer a wide…